Process of Predictive Modelling using Data warehouse

The Predictive modelling incorporate the following step:-

1.  Project Definition
             Define the business objectives and desired outcomes for the project and translate them into predictive analytic and objectives and tasks
  2. Exploration
                  Analyze source data to determine the most appropriate model data and model building approach and scope the effort
3.Data Preparation
                Select,extract,and tranform data upon which create a model
4. Model Building 
                  Create ,test and validate data model and evaluate they will project goals
5.Deployment
              Apply model result to business decision or process. 
6.Model Management 
                 Manage models to improve performance,control access,promote reuse and minimize redundant activities